Data Center Design Lead

1 Month ago • 5 Years + • $144,000 PA - $211,000 PA

Job Summary

Job Description

The Data Center Design Lead architects and optimizes data centers for AI/ML workloads, encompassing network infrastructure, rack layouts, and hardware accelerator selection. Responsibilities include evaluating emerging technologies, resolving performance issues in production environments, optimizing resource utilization, and building relationships with hardware partners. The role requires expertise in data center design and engineering principles, with a focus on IT and data center infrastructure. The ideal candidate will have excellent problem-solving and organizational skills and be able to work independently and proactively. The role is crucial for ensuring compliance with codes and standards and developing infrastructure improvements.

Must have:

Bachelor's degree in relevant engineering
5+ years data center design experience
Knowledge of core design principles
Problem-solving and organizational skills
Ability to work independently

Good to have:

Experience with AI/ML workloads
Knowledge of emerging technologies

Perks:

Bonus
Equity
Benefits

2 skills required

2 skills required for this role

Add these skills to join the top 1% applicants for this job

networking

organisational-skills

Job Details

Minimum qualifications:

Bachelor's in Mechanical Engineering, Aerospace Engineering, or Systems Engineering. or equivalent practical experience.
5 years of experience in data center design and engineering.

Preferred qualifications:

Knowledge of core design and engineering principles, with emphasis on IT and data center infrastructure.
Ability to deliver quality designs on time and provide ongoing support throughout the product life cycle.
Ability to work independently and proactively under minimal supervision.
Excellent problem-solving and organizational skills, with attention to detail.

About the job

Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.

With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $144,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

Architect and optimize data centers specifically tailored for AI/ML workloads, encompassing everything from the network infrastructure/rack layouts, selection/integration of hardware accelerators.
Evaluate emerging technologies across the entire IT stack, from servers and storage to networking and cooling. Leverage this knowledge to industry standards and practices.
Partner with internal teams to identify and resolve performance in production environments. Analyze system-level metrics to pinpoint areas for improvement, and implement solutions that optimize resource utilization, reduce latency, and increase overall system throughput.
Build relationships with hardware partners to understand their technology roadmaps and product development cycles. Provide feedback on our unique requirements and use cases, influencing the design of future generations of network equipment, server racks, and accelerators.